• Research,

MIMICO

Replicating the complexity of agent-based models

The MIMICO project aims to design and evaluate a new approach based on the construction of a surrogate model to emulate the relationship between a scenario and the results of the agent model. The novelty of the project lies in the design of new active learning strategies, which means that the surrogate model will itself monitor its learning process in order to request new examples.

Main funder: ANR JCJC

Nature: Multidisciplinary

UT Capitole role : Carrier

Project : National

Impact : Societal

Stakeholder: IRIT - Nicolas Verstaevel